A Bayesian technique for improving the sensitivity of the atmospheric neutrino L/E analysis
Andrew Blake, John Chapman, Mark Thomson

TL;DR
This paper introduces a Bayesian method to estimate the event-by-event resolution of the neutrino L/E ratio, enhancing the sensitivity of atmospheric neutrino oscillation measurements by incorporating resolution information into the analysis.
Contribution
It presents a novel Bayesian technique for estimating L/E resolution per event, improving the precision of atmospheric neutrino oscillation studies.
Findings
Significant improvement in oscillation sensitivity using the method.
Event-by-event resolution estimation enhances measurement accuracy.
Method applicable to contained-vertex atmospheric neutrino interactions.
Abstract
This paper outlines a method for improving the precision of atmospheric neutrino oscillation measurements. One experimental signature for these oscillations is an observed deficit in the rate of charged-current interactions with an oscillatory dependence on , where is the neutrino propagation distance, and is the neutrino energy. For contained-vertex atmospheric neutrino interactions, the resolution varies significantly from event to event. The precision of the oscillation measurement can be improved by incorporating information on resolution into the oscillation analysis. In the analysis presented here, a Bayesian technique is used to estimate the resolution of observed atmospheric neutrinos on an event-by-event basis. By separating the events into bins of resolution…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
